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Image based Cats and Possums Identification for Intelligent Trapping Systems

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
T. A. S. Achala Perera, John Collins

Achala T A S Perera and John Collins. Image based Cats and Possums Identification for Intelligent Trapping Systems. International Journal of Computer Applications 159(2):12-18, February 2017. BibTeX

	author = {T. A. S. Achala Perera and John Collins},
	title = {Image based Cats and Possums Identification for Intelligent Trapping Systems},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2017},
	volume = {159},
	number = {2},
	month = {Feb},
	year = {2017},
	issn = {0975-8887},
	pages = {12-18},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2017912757},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Eigenface based recognition is widely used to identify individual faces. This technique is commonly used in human recognition domain. In this research, we are investigating for implementation of a possible solution; which can be used to identify species. The eigenface technique is a novel approach in animal recognition domain [1, 2]. In this application, cats and possums are targeted as species of interest. The main reason for targeting cats and possum is, these introduced species are classified as threat to New Zealand natural environment and native wildlife. The next phase of this research project is to implement a vision based trapping system. This paper explains a novel classifier to use with eigenface techniques to separate different species.


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Euclidean distance, face recognition, animal detection